Algorithm 1036: ATC, an advanced Tucker compression library for multidimensional data

DOI10.1145/3585514MaRDI QIDQ6601378

Wouter Baert, Nick Vannieuwenhoven

Publication date: 10 September 2024

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

zbMATH Keywords

data compressiontensorsTucker decompositionbit plane truncationST-HOSVD

Mathematics Subject Classification ID

Numerical analysis (65-XX)

Cites Work

• Title not available (Why is that?)
• Tensor Decompositions and Applications
• Tensor-Train Decomposition
• The approximation of one matrix by another of lower rank.
• A new truncation strategy for the higher-order singular value decomposition
• Hierarchical Singular Value Decomposition of Tensors
• Generalized Kraft Inequality and Arithmetic Coding
• A Multilinear Singular Value Decomposition
• TuckerMPI
• Multiresolution Low-rank Tensor Formats
• Adaptive Hierarchical Subtensor Partitioning for Tensor Compression
• Discrete Cosine Transform
• An updated set of basic linear algebra subprograms (BLAS)

Related Items (1)

Scalable symmetric Tucker tensor decomposition

This page was built for publication: Algorithm 1036: ATC, an advanced Tucker compression library for multidimensional data

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6601378)